REQ#: RQ29762 A GDIT company, DynPort Vaccine Co LLC, is seeking a Biostatistician with experience in analyzing pharmaceutical product development and manufacturing, nonclinical and clinical development to lead the statistical analysis of vaccine development for a biodefense program.
The successful candidate becomes an important champion for this extraordinary company culture and will have the opportunity to make substantial contributions toward the development of vaccines and therapeutics that will protect civilians and dedicated Armed Forces men and women.
Leads the statistical analysis of pharmaceutical product development, to include analyzing correlates of immunity and product efficacy, for inclusion in IND amendments to the FDA. Supports multiple functional areas, including manufacturing, nonclinical and clinical research. Defines methods of analysis and data requirements and designs data collection/quality assurance methods ensuring that relevant information is obtained and controlled according to legal and company guidelines. Reviews statements of work and writes the statistical analysis sections to ensure sufficient power is obtained with the study design. Reviews clinical statistical analysis plans and evaluates population size needed to meet endpoints with sufficient power. Reviews work performed by statistical subcontractors. Applies statistical methodology to analyze and interpret statistical data and organizes results to ensure that all facets of data collection and interpretation meet client specifications. Recommends course of action or appropriate interpretation(s). Prepares conclusions and predictions based on data summaries and advises clients on benefits and limitations of statistical processes adopted in data collection and analysis to ensure that clients use information to make informed decisions. Conducts research to determine appropriate approach and methodology for analyses. Develops rules, benchmarks, etc. for the analysis and interpretation of model data. Clearly communicates the rationale for analyses and the outcomes to internal team and client, orally and in writing. Provides leadership and work guidance to less experienced personnel.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done. GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.
DVC was selected as the 2017 Best Place to Work among large employers in Frederick County, Maryland (See http://www.discoverfrederickmd.com/news/frederick-county-best-places-to-work-honored). In receiving the award, it was recognized that DVC treats our staff with fairness, maintains a great business culture, and finds special ways to enhance the overall work experience. At DVC, performance—with work/life balance—is the norm.
Master's degree in statistics or mathematics, with a PhD in statistics or mathematics preferred. Eight or more years of experience in statistical analysis using SAS, with at least three years in the biotechnology/pharmaceutical field, including validation work. Prior experience managing subcontractors preferred. Experience working with company used databases, statistical software packages and operating systems. Experience working with metrics tools and processes. Experience working with statistical, data-collection and test development procedures. Other Qualifications:
Personal computer and industry standard statistical analysis tools skills. Strong analytical and problem solving skills. Strong communication skills for gathering and presenting test results to individuals and groups. Leadership skills to guide and mentor the work of less experienced personnel. Ability to work independently and as part of a team. MUST HAVES:
High skill level with SAS software Ability to describe statistical approaches and analyses clearly to non-statisticians and clients. Experience with both traditional and Bayesian statistical methods.
Internal Number: RQ29762
About General Dynamics Information Technology
We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that’s important.
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